Model comparison
Llama 2-7B vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.5 to 29.1 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Qwen3 14B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 28.2.
Side by side
| Llama 2-7B | Qwen3 14B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 35.5 |
| Released | 2023-07-18 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 29 | 12 |
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Category by category
Coding Qwen3 14B leads
Llama 2-7B: 29.2 (#307), Qwen3 14B: 37.3 (#195)
| Benchmark | Llama 2-7B | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1002 | — |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Llama 2-7B | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Qwen3 14B leads
Llama 2-7B: 15.7 (#312), Qwen3 14B: 18.5 (#280)
| Benchmark | Llama 2-7B | Qwen3 14B |
|---|---|---|
| Chess Puzzles | 0% | 4% |
| Epoch Capabilities Index | 99.06 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1009 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Qwen3 14B leads
Llama 2-7B: 30.7 (#233), Qwen3 14B: 38.6 (#133)
| Benchmark | Llama 2-7B | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1042 | — |
| GSM8K | 16.7% | — |
Knowledge Qwen3 14B leads
Llama 2-7B: 28.2 (#248), Qwen3 14B: 39.3 (#134)
| Benchmark | Llama 2-7B | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Qwen3 14B: —
| Benchmark | Llama 2-7B | Qwen3 14B |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Not comparable
Llama 2-7B: 23.8 (#293), Qwen3 14B: —
| Benchmark | Llama 2-7B | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 973 | — |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Not comparable
Llama 2-7B: 50.8 (#298), Qwen3 14B: —
| Benchmark | Llama 2-7B | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1006 | — |
Long Context Qwen3 14B leads
Llama 2-7B: 30.4 (#287), Qwen3 14B: 38.1 (#204)
| Benchmark | Llama 2-7B | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 999 | — |
Writing & Preference Not comparable
Llama 2-7B: 28.0 (#298), Qwen3 14B: —
| Benchmark | Llama 2-7B | Qwen3 14B |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| LMArena Multi-Turn | 1029 | — |
Frequently asked questions
Is Llama 2-7B better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.5 to 29.1 on the Noometry Index.
Is Llama 2-7B or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 37.3 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Qwen3 14B share?
2 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen3 14B has 12.